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MSIT

MSIT 5220: Advanced Databases

MSIT 5220: Advanced Databases

Credits: 3

Prerequisites: MSIT 5210

Course Description: Students are provided with theoretical knowledge and practical skills in advanced topics in database systems, data marts, and data warehouses. The specific topics covered include indexing methods, query processing and optimization strategies for relational database systems, Object Relational Mapping and Object Database design, distributed database systems, data mining on large databases.

Required Textbook and Materials: UoPeople courses use open educational resources (OER) and other materials specifically donated to the University with free permissions for educational use. Therefore, students are not required to purchase any textbooks or sign up for any websites that have a cost associated with them. The main required textbooks for this course are listed below, and can be readily accessed using the provided links. There may be additional required/recommended readings, supplemental materials, or other resources and websites necessary for lessons; these will be provided for you in the course's General Information and Forums area, and throughout the term via the weekly course Unit areas and the Learning Guides.

Software Requirements/Installation: No special requirements.

Learning Objectives and Outcomes:

By the end of this course students will be able to:

  1. Examine application domains, concepts, and structures of industry-standard database management systems, including web and cloud systems. 
  2. Evaluate emerging technologies (such as Big Data, NoSQL, On-Line Analytical Processing (OLAP), and Data Warehouses) and their potential as business solutions.
  3. Compare and contrast Data Marts and Data Warehouses, and the advantages or disadvantages of each using research-based evidence.

Course Schedule and Topics: This course will cover the following topics in eight learning sessions, with one Unit per week.

Week 1: Unit 1 - Data Warehouse Requirements

Week 2: Unit 2 - Design Requirements for Data Warehouse

Week 3: Unit 3 - Data Warehouse ETL process

Week 4: Unit 4 - Data Mining Techniques

Week 5: Unit 5 - Managing Data on the Web

Week 6: Unit 6 - Managing Data in the Cloud

Week 7: Unit 7 - Data Analysis Tools

Week 8: Unit 8 - Business Intelligence/Data Warehouses

Learning Guide: The following is an outline of how this course will be conducted, with suggested best practices for students.

Unit 1: Data Warehouse Requirements

  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

Unit 2: Design Requirements for Data Warehouse

  • Peer assess Unit 1 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

Unit 3: Data Warehouse ETL process

  • Peer assess Unit 2 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

Unit 4: Data Mining Techniques

  • Peer assess Unit 3 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

Unit 5: Managing Data on the Web

  • Peer assess Unit 4 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

Unit 6: Managing Data in the Cloud

  • Peer assess Unit 5 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

 Unit 7: Data Analysis Tools

  • Peer assess Unit 6 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete and submit the Written Assignment
  • Complete the Reflective Portfolio Assignment

Unit 8: Business Intelligence/Data Warehouses

  • Peer assess Unit 7 Written Assignment
  • Read the Learning Guide and Reading Assignments
  • Participate in the Discussion Assignment (post, comment, and rate in the Discussion Forum)
  • Complete the Reflective Portfolio Assignment
  • Complete and submit the anonymous Course Evaluation

Course Requirements:

Discussion Assignments & Response Posts/Ratings
Some units in this course require that you complete a Discussion Assignment. You are required to develop and post a substantive response to the Discussion Assignment in the Discussion Forum. A substantive response is one that fully answers the question that has been posed by the instructor. In addition, you must extend the discussion by responding to at least three (3) of your peers’ postings in the Discussion Forum and by rating their posts. Instructions for proper posting and rating (out of a 10 point scale) are provided inside the Discussion Forum for each week. Discussion Forums are only active for each current and relevant learning week, so it is not possible to contribute to the forum once the learning week has come to an end. Failure to participate in the Discussion Assignment by posting in the Discussion Forum and responding to peers as required may result in failure of the course.

Written Assignments & Assessment Forms
Most units in this course require that you complete a Written Assignment, which may come in many forms (case study, research paper, etc.). You are required to submit your assignments by the indicated deadlines and, in addition, to peer assess three (3) of your classmates’ assignments according to the instructions found in the Assessment Form, which is provided to you during the following week. During this peer assessment period, you are expected to provide details in the feedback section of the Assessment Form, indicating why you awarded the grade that you did to your peer. Please note that each assignment grade is comprised of a combination of your submission (90%) and your peer assessments (10%). Failure to submit Written Assignments and/or Assessment Forms may result in failure of the course.

Reflective Portfolio Activities
Portfolio Activities are tools for self-reflection and evaluation within the context of the course. These activities are designed as a means to document and critically reflect upon your learning process. Activities you develop for this course will be kept in your Research and Practice Portfolio and will be important as you progress towards the final courses in your program, particularly the Advanced Practice and Capstone courses.  Ideally, you will draw from your coursework and experiences, as well as what you’ve learned in other courses, and your own current teaching practice to showcase your overall growth and examine ways in which you can continue to develop and sharpen your research interests and expand your cadre of instructional methods.

Course Forum
The Course Forum is the place to raise issues and questions relating to the course. It is regularly monitored by the instructors and is a good place to meet fellow students taking the same course. While it is not required to participate in the Course Forum, it is highly recommended.

Course Policies:

Grading Components and Weights
Each graded component of the course will contribute some percentage to the final grading scale, as indicated here:

Discussion Assignments  15%
Written Assignments    35%
Programming Assignment  20%
Reflective Portfolio Activities  30%
TOTAL 100%


Grading Scale
This course will follow the standard 100-point grading scale defined by the University of the People, as indicated here:

Letter Grade                      
 Grade Scale Grade Points
A+ 98-100 4.00
A 93-97 4.00
A- 90-92 3.67
B+ 88-89 3.33
B 83-87 3.00
B- 80-82 2.67
C+ 78-79 2.33
C 73-77 2.00
C- 70-72 0.00
D+ 68-69 0.00
D 63-67 0.00
D- 60-62 0.00
F Under 60 0.00
CR N/A N/A
NC N/A N/A
NF N/A N/A
W N/A N/A

Grade Appeal
If you believe that the final grade you received for a course is erroneous, unjust, or unfair, please contact your course instructor. This must be done within seven days of the posted final grade. For more information on this topic, please review the Grade Appeal Procedure in the University Catalog.

Participation
Non-participation is characterized by lack of any assignment submissions, inadequate contributions to the Discussion Forums, and/or lack of peer feedback to Discussion/Written Assignments. Also, please note the following important points about course participation:

  • Assignments must be submitted on or before the specified deadline. A course timeline is provided in the course schedule, and the instructor will specify deadlines for each assignment.
  • Any student showing non-participation for two weeks (consecutive or non-consecutive) is likely to automatically fail the course.
  • Occasionally there may be a legitimate reason for submitting an assignment late. Most of the time, late assignments will not be accepted and there will be no make-up assignments.
  • All students are obligated to inform their instructor in advance of any known absences which may result in their non-participation.

Academic Honesty and Integrity
When you submit any work that requires research and writing, it is essential to cite and reference all source material. Failure to properly acknowledge your sources is known as “plagiarism” – which is effectively passing off an individual’s words or ideas as your own. University of the People adheres to a strict policy of academic honesty and integrity. Failure to comply with these guidelines may result in sanctions by the University, including dismissal from the University or course failure. For more information on this topic, please review the Academic Integrity Policy in the University Catalog.

Any materials cited in this course should be referenced using the style guidelines established by the American Psychological Association (APA). The APA format is widely used in colleges and universities across the world and is one of several styles and citation formats required for publication in professional and academic journals. Purdue University’s Online Writing LAB (OWL) is a free website that provides excellent information and resources for understanding and using the APA format and style. The OWL website can be accessed here: https://owl.purdue.edu/owl/purdue_owl.html

Code of Conduct
University of the People expects that students conduct themselves in a respectful, collaborative, and honest manner at all times. Harassment, threatening behavior, or deliberate embarrassment of others will not be permitted. Any conduct that interferes with the quality of the educational experience is not allowed and may result in disciplinary action, such as course failure, probation, suspension, or dismissal. For more information on this topic, please review the Code of Conduct Policy in the University Catalog.

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